Customization: | Available |
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After-sales Service: | Spareparts Available |
Warranty: | 1 Year |
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AI Vision Sorting Machine
Incorporating cutting-edge artificial intelligence software, our system meticulously examines each test part from every conceivable angle, promptly isolating any defective components. Leveraging advanced algorithmic deep learning, it categorizes and pinpoints defects, issues timely alerts, and vividly displays defect images. Concurrently, our high-precision cameras measure part sizes with unparalleled accuracy, automatically removing products that fail to meet precise size specifications.
Features of Vision Sorting Machine
1. This is an all-in-one integrated solution that optimizes and saves precious space on your production line.
2. Enjoy the convenience of remote control and monitoring, ensuring seamless operation at all times.
3. Our system provides immediate alerts for any abnormalities, effectively preventing the spread of defective or dimensionally incorrect products.
4. Access comprehensive historical defect and dimensional maps to conduct thorough analyses and uncover the root causes of defects and dimensional discrepancies.
5. By combining traditional algorithms with AI-driven deep learning, we significantly enhance our capability to detect and identify even the most complex defects.
6. Simplified operation through our innovative adaptive threshold technology, making user interaction effortless.
Test object: | small parts |
Product colour: | black, white, grey and other common colours |
Product plating: | nickel, zinc, phosphating, epoxy,etc. |
Detectable shapes | rectangular (ring), circular (ring), oval (ring) ,trapezoidal, runway, cylinder and other shapes |
Materials incoming way: | vibration disc or centrifugal disc |
Detection speed | ordinary up to 1200 pcs min,high-speed machine 6000 pcs /minInspection |
object size: length 1~64mm;width 1~19mm; thickness 0.3~8mm. | |
Detection field of view: | can be customised according to the actual project selection,Measurement accuracy:plane size 0.003mm,thickness size 0.005mm |
Number of Al defect training samples | 20 |
Algorithm model | small sample |
Detection rate: | 99.90% |
Easy to use of equipment: | more compatible products, convenient visual debugging, |
Size: L1450mmxW1300mmxH1900mm | |
Weight: | about 450kg |
Inspection size parameters | Length 1~64mm;Width 1~19mm;Thickness 0.3~8mm |
Dimensional accuracy | Flatness accuracy:+0.002mm;Thickness accuracy:*0.003mm |
Dimensional test items | Length, width, thickness, diameter, inside diameter, concentricity, parallelism, straightness,roundness,perpendicularity,contour,symmetry,etc. |
Detection items | Corners, pits, cracks, scratches, bevelled knives, blisters, fine lines, side corners, corrosion, whitening, copper exposure, dark cracks,etc. |
The system measures dimensions within the accuracy range | Including length, width, height, length, width, thickness, circle, inner diameter, outer diameter, pinch angle, R angle, contour, parallelism, perpendicularity, symmetry, roundness and other conventional dimensions. |